| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 2 | | adverbTags | | 0 | "Quinn said flatly [flatly]" | | 1 | "she said quietly [quietly]" |
| | dialogueSentences | 51 | | tagDensity | 0.392 | | leniency | 0.784 | | rawRatio | 0.1 | | effectiveRatio | 0.078 | |
| 91.55% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1183 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 74.64% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1183 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "echoed" | | 1 | "silence" | | 2 | "etched" | | 3 | "glinting" | | 4 | "pulsed" | | 5 | "traced" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 68 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 68 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 99 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1175 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 21.96% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 37 | | wordCount | 781 | | uniqueNames | 9 | | maxNameDensity | 2.56 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 20 | | Camden | 1 | | Tube | 1 | | Morris | 1 | | Raynor | 9 | | Brighton | 1 | | Fresh | 1 | | Aurora | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" | | 3 | "Raynor" | | 4 | "Aurora" |
| | places | | | globalScore | 0.22 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 53 | | glossingSentenceCount | 1 | | matches | | 0 | "as if responding to something deeper than mere reflection" |
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| 29.79% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.702 | | wordCount | 1175 | | matches | | 0 | "not north but toward the tunnel entrance" | | 1 | "Not metal, but something" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 99 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 43 | | mean | 27.33 | | std | 18.38 | | cv | 0.672 | | sampleLengths | | 0 | 70 | | 1 | 2 | | 2 | 38 | | 3 | 33 | | 4 | 27 | | 5 | 48 | | 6 | 2 | | 7 | 62 | | 8 | 21 | | 9 | 48 | | 10 | 38 | | 11 | 7 | | 12 | 34 | | 13 | 3 | | 14 | 11 | | 15 | 32 | | 16 | 10 | | 17 | 38 | | 18 | 5 | | 19 | 53 | | 20 | 13 | | 21 | 38 | | 22 | 4 | | 23 | 52 | | 24 | 27 | | 25 | 23 | | 26 | 56 | | 27 | 5 | | 28 | 37 | | 29 | 30 | | 30 | 40 | | 31 | 3 | | 32 | 48 | | 33 | 16 | | 34 | 22 | | 35 | 41 | | 36 | 11 | | 37 | 2 | | 38 | 44 | | 39 | 27 | | 40 | 29 | | 41 | 6 | | 42 | 19 |
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| 84.62% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 68 | | matches | | 0 | "were arranged" | | 1 | "been pulled" | | 2 | "was etched" | | 3 | "been handled" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 131 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 99 | | ratio | 0.081 | | matches | | 0 | "The signal had been vague when it came through the radio—body found in the old Camden tunnels, nothing more specific than that." | | 1 | "The smell hit her first—rot and ozone, like a lightning strike had fried something organic." | | 2 | "The station was exactly what you'd expect from a place shuttered since the 1970s—peeling paint, broken glass scattered across the tracks, and that particular kind of silence that pressed against your eardrums." | | 3 | "Quinn crouched beside her, noting the obvious things first—the position of the body, the way her arms were arranged, the dark stain spreading across her chest." | | 4 | "And not in a straight line—more like someone had been pulled sideways, scraping along the edge of the platform." | | 5 | "Not soil—concrete dust mixed with something darker." | | 6 | "The air grew colder with each step, carrying with it the scent of old stone and something else—something that made the hairs on the back of her neck stand up." | | 7 | "\"There.\" She pointed to a series of marks carved into the stone—symbols that made her skin crawl, though she couldn't explain why." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 789 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 24 | | adverbRatio | 0.030418250950570342 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.011406844106463879 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 99 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 99 | | mean | 11.87 | | std | 7.56 | | cv | 0.637 | | sampleLengths | | 0 | 27 | | 1 | 22 | | 2 | 21 | | 3 | 2 | | 4 | 13 | | 5 | 16 | | 6 | 9 | | 7 | 15 | | 8 | 15 | | 9 | 3 | | 10 | 16 | | 11 | 11 | | 12 | 10 | | 13 | 32 | | 14 | 4 | | 15 | 2 | | 16 | 2 | | 17 | 22 | | 18 | 14 | | 19 | 26 | | 20 | 6 | | 21 | 15 | | 22 | 4 | | 23 | 16 | | 24 | 7 | | 25 | 2 | | 26 | 19 | | 27 | 15 | | 28 | 15 | | 29 | 8 | | 30 | 2 | | 31 | 5 | | 32 | 18 | | 33 | 16 | | 34 | 3 | | 35 | 8 | | 36 | 3 | | 37 | 11 | | 38 | 7 | | 39 | 14 | | 40 | 5 | | 41 | 5 | | 42 | 9 | | 43 | 24 | | 44 | 5 | | 45 | 5 | | 46 | 14 | | 47 | 23 | | 48 | 16 | | 49 | 3 |
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| 84.85% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.5151515151515151 | | totalSentences | 99 | | uniqueOpeners | 51 | |
| 52.91% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 63 | | matches | | 0 | "Somewhere beyond this point, there" |
| | ratio | 0.016 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 63 | | matches | | 0 | "His breath fogged in the" | | 1 | "They walked past the remains" | | 2 | "She was studying the ground" | | 3 | "She knelt beside a patch" | | 4 | "They led to a rusted" | | 5 | "she said, pausing at the" | | 6 | "It hung open at a" | | 7 | "She moved closer, her boots" | | 8 | "She pointed to a series" | | 9 | "They pulsed faintly in the" | | 10 | "She traced one of the" | | 11 | "It felt warm beneath her" | | 12 | "She pressed her ear against" | | 13 | "She paused at the entrance" | | 14 | "she said quietly" |
| | ratio | 0.238 | |
| 47.30% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 52 | | totalSentences | 63 | | matches | | 0 | "Detective Harlow Quinn pressed her" | | 1 | "The signal had been vague" | | 2 | "Quinn looked up as DS" | | 3 | "His breath fogged in the" | | 4 | "Quinn wiped her gloves on" | | 5 | "The smell hit her first—rot" | | 6 | "Raynor's voice echoed off the" | | 7 | "Quinn followed the beam of" | | 8 | "The station was exactly what" | | 9 | "They walked past the remains" | | 10 | "Aurora lay on her side" | | 11 | "Quinn crouched beside her, noting" | | 12 | "Raynor said without prompting" | | 13 | "Quinn didn't look up." | | 14 | "She was studying the ground" | | 15 | "Scuff marks, yes, but not" | | 16 | "Quinn pointed to a set" | | 17 | "Quinn stood and walked to" | | 18 | "Quinn stopped and held up" | | 19 | "She knelt beside a patch" |
| | ratio | 0.825 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 63 | | matches | (empty) | | ratio | 0 | |
| 47.62% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 30 | | technicalSentenceCount | 4 | | matches | | 0 | "And embedded in it, half-buried, was a small brass object that caught the light." | | 1 | "The air grew colder with each step, carrying with it the scent of old stone and something else—something that made the hairs on the back of her neck stand up." | | 2 | "Not metal, but something that reflected light in an unnatural way." | | 3 | "They pulsed faintly in the beam of her light, as if responding to something deeper than mere reflection." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 51 | | tagDensity | 0.098 | | leniency | 0.196 | | rawRatio | 0.2 | | effectiveRatio | 0.039 | |